87 citations · 192 across the 13 of their papers we have counts for
14 papers
Procedural Generation of First Person Shooter Maps using Map-Elites
Simone de Donato, Pier Luca Lanzi, Daniele Loiacono
We investigate the application of MAP-Elites (a well-known quality diversity algorithm) to design levels for First-Person Shooter (FPS) games. We consider two well-known map repres…
A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms
Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
We present a tool for exploring the design space of shaders using an interactive evolutionary algorithm integrated with the Unity editor, a well-known commercial tool for video gam…
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design
Pier Luca Lanzi, Daniele Loiacono
Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools ca…
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net
Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese +4
Radiotherapy (RT) is a key component in the treatment of various cancers, including Acute Lymphocytic Leukemia (ALL) and Acute Myelogenous Leukemia (AML). Precise delineation of or…
Ensemble Methods for Multi-Organ Segmentation in CT Series
Leonardo Crespi, Paolo Roncaglioni, Damiano Dei +5
In the medical images field, semantic segmentation is one of the most important, yet difficult and time-consuming tasks to be performed by physicians. Thanks to the recent advancem…
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images
Leonardo Crespi, Mattia Portanti, Daniele Loiacono
Organ at Risk (OAR) segmentation from CT scans is a key component of the radiotherapy treatment workflow. In recent years, deep learning techniques have shown remarkable potential…
One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design
Pier Luca Lanzi, Daniele Loiacono, Alberto Arosio +18
Minimalist game design was introduced a decade ago as a general design principle with a list of key properties for minimalist games: basic controls, simple but aesthetically pleasi…
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
Edoardo Giacomello, Michele Cataldo, Daniele Loiacono +1
Deep Learning has established in the latest years as a successful approach to address a great variety of tasks. Healthcare is one of the most promising field of application for Dee…
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
Leonardo Crespi, Daniele Loiacono, Arturo Chiti
Chest X-Ray (CXR) is one of the most common diagnostic techniques used in everyday clinical practice all around the world. We hereby present a work which intends to investigate and…
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono +1
Chest X-ray (CXR) is perhaps the most frequently-performed radiological investigation globally. In this work, we present and study several machine learning approaches to develop au…
Brain MRI Tumor Segmentation with Adversarial Networks
Edoardo Giacomello, Daniele Loiacono, Luca Mainardi
Deep Learning is a promising approach to either automate or simplify several tasks in the healthcare domain. In this work, we introduce SegAN-CAT, an approach to brain tumor segmen…
DOOM Level Generation using Generative Adversarial Networks
Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono
We applied Generative Adversarial Networks (GANs) to learn a model of DOOM levels from human-designed content. Initially, we analysed the levels and extracted several topological f…
An Integrated Framework for AI Assisted Level Design in 2D Platformers
Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono
The design of video game levels is a complex and critical task. Levels need to elicit fun and challenge while avoiding frustration at all costs. In this paper, we present a framewo…
Simulated Car Racing Championship: Competition Software Manual
Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi
The paper provides a manual for the Simulated Car Racing Championship competition software, covering its architecture, installation steps, example drivers, and the sensors and actu…